For delineation of multiple tissues, we devise commonly used standard U-Net segmentor [1]}. We speculate that if synthesized images are in good quality (Table REF ), overall segmentation of tissues should be accurate. In addition to fully synthesized, mixed, and real images based training of segmentation, we also apply multi-contrast and single-contrast segmentation settings to validate the necessity of additional contrasts and their complementary strengths to each other.
